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Dimensions are the individual data points inside your datasets that you use to build metrics, slice results, and explore trends. They come in two types.
Dimensions view

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Dimensions

Dimensions are what you use for grouping and filtering. They describe attributes of your data — the “who,” “what,” and “where.” Use dimensions when you want to break a metric down by category — for example, headcount by department or offer acceptance rate by location.

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Time Dimensions

Time dimensions are date-based dimensions you use for tracking trends over time. They answer the “when.” Use time dimensions when you want to see how a metric changes over weeks, months, or quarters — for example, attrition rate over the last 12 months.
Not sure which dimension to use? Start with the metric you care about and work backward. If you want to see attrition by office, you need the Location dimension. If you want to see attrition over time, you need a Termination Date time dimension.